Computational ligands to VKORC1s and CYPs. Could they predict new anticoagulant rodenticides?

bioRxiv(2021)

Cited 1|Views2
No score
Abstract
Anticoagulant-resistance in rodents and anticoagulant off-target effects are some of the world-wide problems of increasing concern. To search for new anticoagulant rodenticide candidates we have computationally explored some of the rat genes previously implicated in resistance to actual anticoagulants. In particular, we searched among hundreds of anticoagulant-similar chemotypes those binding rat wild-type VKORC1 (the best-known anticoagulant target, a Vitamin K-recycling enzyme), VKORC1L1 (a VKORC1-related enzyme), Cytochrome P450 CYP enzymes (some of the most important enzymes implicated in detoxification) and anticoagulant-resistant VKORC1-mutants (to minimize propensity to resistance). Results predicted new VKORC1 leads with binding-scores in the low nM range (high binding-affinities) predicting hydroxycoumarin- and naphtoquinone-like chemotypes. We then selected top-leads with additional high binding-scores to more than three anticoagulant-related CYPs, suggesting minimal detoxification rates and therefore maximal anticoagulation expectatives. A downsized list of top top-leads maintaining VKORC1 low-binding scores to anticoagulant resistant mutants, was finally proposed for experimental validation. The combination of different rat targets for computational studies, could be used to search for unrelated chemotypes, for reduction of off-target environmental anticoagulant impacts, and/or as new tools to explore anticoagulant molecular mechanisms. ### Competing Interest Statement The authors have declared no competing interest.
More
Translated text
Key words
new anticoagulant rodenticides,cyps
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined